An optimized self-organized approach to manage communication in wireless instrumentation systems

In the context of wireless instrumentation systems, we proposed the MWAC model to enable reliable communications between sensors. This model, based on a self-organization process, is operational and has been usefully deployed on real world wireless sensors networks. However, for some applications, M...

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Bibliographic Details
Published in2011 IEEE Symposium on Intelligent Agent (IA) pp. 1 - 8
Main Authors Hamani, N., Jamont, J., Occello, M., Koudil, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2011
Subjects
ant colony optimization
Delay
Heuristic algorithms
intelligent hybrid systems
multiagent system
Physical layer
Routing
Routing protocols
Wireless sensor networks
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Summary:In the context of wireless instrumentation systems, we proposed the MWAC model to enable reliable communications between sensors. This model, based on a self-organization process, is operational and has been usefully deployed on real world wireless sensors networks. However, for some applications, MWAC presents an important limitation. In fact, for a given emergent structure, the process offers only one path to join the workstation which collects all the data. This paper presents an improvement of this model to increase the path proposal using ant colony optimization.
ISBN:9781612840598
1612840590
DOI:10.1109/IA.2011.5953612